Sano Genetics Achieves 9-Fold Faster Data Processing and Enhanced Clinical Trial Efficiency with Seqera

Aim

To develop scalable genetic data pipelines that deliver quality-controlled results while developing precision medicine tools to enhance clinical trial efficiency and patient outcomes.

Challenges

One of the biggest challenges Sano Genetics faced was running complex bioinformatics pipelines at scale while ensuring results are accurate and reproducible. Clinical studies demand that every participant’s data is processed consistently and traceably; even a single error can undermine trust and trigger corrective actions. These problems were compounded because pipelines combine multiple tools, data sources, computing environments and complex processing code, making analyses fragile when software versions change, dependencies conflict, or systems fail. In addition, clinical results must be scientifically rigorous and delivered within tight operational timelines.

Before adopting Seqera, Sano Genetics relied on custom scripts and manual tracking to run and monitor pipelines. While this worked for smaller analyses, it became time-consuming and fragile as pipelines grew in size and complexity. They needed a robust workflow management system that could capture the full history of each run in a unified place. Complete traceability would not only streamline troubleshooting and ensure compliance but give us greater confidence in result quality across all our workflows.

Solution

• Nextflow: Build reproducible, scalable pipelines for genetic data processing with consistent software environments and improved standardization.
• Seqera: Gain centralized visibility into run histories, resource usage, and provenance to ensure traceability and compliance at scale.
• Cloud Services: Store genetic data securely on compliant cloud infrastructure that enables safe collaboration across distributed teams and research partners.
• AI/ML: Apply ML to develop PRS and other biomarker-related tools to support trial recruitment, and stratification. Use AI to power client-facing tools and enhance bioinformatic processes.

Results

Sano Genetics moved their most costly and time-intensive pipelines to Seqera, where comprehensive run history, provenance tracking, and resource monitoring are centralized. This implementation delivered dramatic benefits, including a 9-fold reduction in lab-to-finished-result time, and automated workflow management that eliminated manual intervention. Standardized containerized pipelines reduced variability and errors across projects, while delivering 100% traceability for compliance readiness. The time savings freed scientific teams to focus on innovation, accelerating precision medicine development and clinical trial efficiency.